Event: Predictive analytics with R, PMML and ADAPA

posted on DECISION STATS » R ·  
retrieved on September 8, 2010 ·  
Event: Predictive analytics with R, PMML and ADAPA
From http://www.meetup.com/R-Users/calendar/14405407/The September meeting is at the Oracle campus. (This is next door to the Oracle towers, so there is plenty of free parking.) The featured talk is from Alex Guazzelli (Vice President – Analytics, Zementis Inc.) who will talk about “Predictive analytics with R, PMML and ADAPA”. Agenda: * 6:15 – 7:00 Networking and Pizza (with thanks to Revolution Analytics) * 7:00 – 8:00 Talk: Predictive analytics with R, PMML and ADAPA * 8:00 – 8:30 General discussion Talk overview: The rule in the past was that whenever a model was built in a particular ...
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Webinar September 22: Deploying R

posted on Revolutions ·  
retrieved on September 8, 2010 ·  
In 2 weeks, on Wednesday September 22, I'll be hosting a webinar in conjunction with Andrew Lampitt at Jaspersoft. This new webinar is all about how to Deploy R: in other words, how to use the new server-based capabilities of Revolution R Enterprise 4 for Linux to embed the results of R scripts into applications and web pages. One very cool example of this is getting the output of R based models into Jaspersoft BI dashboards -- Matt Dahlman will demonstrate. Full details about the webinar are after the jump, and ...
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ECG Project

posted on BioStatMatt » R ·  
retrieved on September 8, 2010 ·  
ECG Project
In an earlier post, I described some ECG signal processing. In fact, these recordings were from my own heart, and I had collected them using a homemade ECG. The following is a repost from my old site describing the device. I assembled an instrumentation amplifier to measure cardiac potentials (i.e. an electrocardiograph (ECG)). I used the A/D converter on the ATmega168 microcontroller to measure the amplified potentials and transmit them to a computer. I can collect up to 2.5k values per second, which is sufficient for cardiac potentials. The analog amplifier ...
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Clipping a Surface By a Polygon

posted on Spatial Analysis » R ·  
retrieved on September 8, 2010 ·  
Clipping a Surface By a Polygon
Background: A common function in standard GIS software enables users to create a raster surface and extract values or clip it based on a set of polygons. This may be used in cases where you want analysis to be constrained to within a town’s boundaries or a coastline. This tutorial will outline how to create a surface using kernel density estimation (KDE) and then clip the surface so that it is constrained within the City of London Boundary.Data Requirements:City of London Boundary Shapefile: Download (requires unzipping). London Cycle Hire Locations: Download. Install the ...
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Canterbury Earthquakes part III

posted on The Praise of Insects ·  
retrieved on September 8, 2010 ·  
Canterbury Earthquakes part III
As more people keep following the GeoNet website, they are starting to notice the seismic activity in areas other than Christchurch. A few people I've talked to have expressed concern that the Saturday 7-pointer has sparked earthquakes around the country. This is incorrect, as earthquakes below magnitude 3 are extremely common and as can be seen in the plot below, they occur throughout the country. A closer look at the magnitude of these earthquakes shows their temporal distribution is fairly uniform. What is interesting is that prior to the time ...
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Julien on R shortcomings

posted on Xi'an's Og » R ·  
retrieved on September 8, 2010 ·  
Julien on R shortcomings
Julien Cornebise posted a rather detailed set of comments (from Jasper!) that I thought was interesting and thought-provoking enough (!) to promote to a guest post. Here it is , then, to keep the debate rolling (with my only censoring being the removal of smileys!). (Please keep in mind that I do not endorse everything stated in this guest post! Especially the point on “Use R!“) On C vs R As a reply to Duncan: indeed C (at least for the bottlenecks) will probably always be faster for the final, mainstream ...
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Straight, curly, or compiled?

posted on Thinking inside the box ·  
retrieved on September 7, 2010 ·  
Christian Robert, whose blog I commented-on here once before, had followed up on a recent set of posts by Radford Neal which had appeared both on Radford's blog and on the r-devel mailing list.Now, let me prefix this by saying that I really enjoyed Radford's posts. He obviously put a lot of time into finding a number of (all somewhat small in isolation) inefficiencies in R which, when taken together, can make a difference in performance. I already spotted one commit by Duncan in the SVN logs for R so this is being looked at. ...
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Ah Bach…

posted on R-Chart ·  
retrieved on September 7, 2010 ·  
Ah Bach…
As announced by David Smith over at Revolution Analytics,  a ggplot2 Case Study Competition is on...   Rather than blogging for the last few days, I cobbled together an entry.  It is not a particularly mind bending use of ggplot2, but the subject matter is relatively original.  It is an brief analysis and visualization of a J.S. Bach 2 Part Invention.  And because Bach's music is so well structured, the visualization itself is nice looking and well balanced.  Perhaps suitable for geeky tee shirts...Check it out when you get a chance.
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Eigenimages: The AT&T Cambridge Faces Database

posted on BioStatMatt » R ·  
retrieved on September 7, 2010 ·  
Eigenimages: The AT&T Cambridge Faces Database
I gave a presentation about clustering to an audience that wasn’t really interested in biology. So I picked up the AT&T Laboratories Cambridge database of faces for a more appropriate clustering application. The database consists of images of 40 distinct subjects, each in 10 different facial positions and expressions. Typically, the goal of clustering in these data is to recover the ‘true’ partition, or that which isolates images of distinct subjects. Each image is is 92 x 112 pixels in dimension, taking black-and-white integer values in the 8-bit range (0 ...
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Revolution R Enterprise 4.0 free download for academics

posted on Revolutions ·  
retrieved on September 7, 2010 ·  
The Windows version of our latest enterprise distribution of R, Revolution R Enterprise 4.0, is now being delivered to subscribers and is also available for free download for members of the academic community. Revolution R Enterprise 4.0 is a major update, and includes many new and improved features: Based on R 2.11.1, the current release of the R. See the list of new features in R's language engine since 2.9.2 (upon which the previous release of Revolution R Enterprise was based) in the NEWS file on CRAN. Includes a new package, RevoScaleR, that ...
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